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   <ref-type name="Journal Article">17</ref-type>
   <contributors>
    <authors>
     <author>Дианов, В.М.</author>
     <author>Алехин, Е.К.</author>
     <author>Тюрина, Л.А.</author>
    </authors>
   </contributors>
   <titles>
    <title>Компьютерный анализ взаимосвязи структура – ​​активность для иммуноактивных производных тиазоло [3,2- a ] бензимидазола</title>
   </titles>
   <dates>
    <year>2018</year>
    <pub-dates>
     <date>2020-12-14</date>
    </pub-dates>
   </dates>
   <doi>10.1007/s11094-018-1814-5</doi>
   <abstract>Computer analysis of the structure–activity relationship and purposeful design of effective immunomodulators among thiazolo[3,2-a]benzimidazole derivatives was performed. A mathematical recognition model was formulated. Immunomodulating activity of condensed azoles was predicted (80 – 100% learning recognition). Potentially active structures were generated. Their activities were predicted. Theoretical and experimental results agreed. The tested thiazolo[3,2-a]benzimidazole derivatives exhibited the predicted activities. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.</abstract>
   <urls>
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     <url>https://repo.bashgmu.ru/publication/1037</url>
    </web-urls>
    <pdf-urls>
     <url>https://repo.bashgmu.ru/files/1185</url>
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